4773 search results - page 669 / 955 » Learning from Uncertain Data |
195
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SDM
2003
SIAM
15 years 8 months ago
2003
SIAM
The singular value decomposition (SVD) is fundamental to many data modeling/mining algorithms, but SVD algorithms typically have quadratic complexity and require random access to ...
207
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KDD
2009
ACM
16 years 7 months ago
2009
ACM
The Drosophila gene expression pattern images document the spatial and temporal dynamics of gene expression and they are valuable tools for explicating the gene functions, interac...
200
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CORR
2006
Springer
15 years 6 months ago
2006
Springer
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
240
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KDD
2012
ACM
13 years 9 months ago
2012
ACM
Multi-label learning arises in many real-world tasks where an object is naturally associated with multiple concepts. It is well-accepted that, in order to achieve a good performan...
171
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ICCV
2007
IEEE
16 years 8 months ago
2007
IEEE
The k-nearest neighbour (kNN) rule is a simple and effective method for multi-way classification that is much used in Computer Vision. However, its performance depends heavily on ...